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In addition, the proposed methods are able to detect the occurrence of a collision, the link that collided and to some extent the magnitude of the collision without using the explicit model of the robot. Since the speed of the detection is of critical importance for mitigating the danger, attention is paid to recognise a collision as soon as possible. Experimental results conducted with a KUKALWR manipulator using two joints in planar motion, verify the validity on both methods.<\/jats:p>","DOI":"10.1017\/s0263574714001143","type":"journal-article","created":{"date-parts":[[2014,5,9]],"date-time":"2014-05-09T07:11:56Z","timestamp":1399619516000},"page":"1886-1898","source":"Crossref","is-referenced-by-count":47,"title":["Human - robot collision detection and identification based on fuzzy and time series modelling"],"prefix":"10.1017","volume":"33","author":[{"given":"Fotios","family":"Dimeas","sequence":"first","affiliation":[]},{"given":"L. 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